Despite the extensive discourse on music recommendation techniques in the literature, numerous challenges persist, including cold-start and overfitting issues. In this paper, the Music Assistant is proposed. It is a mobile application integrated with a music streaming service that redefines music delivery to users through personalized music profiles. The system eliminates the need for manual playlist management by automatically selecting consistent song recommendations within a profile. Music preferences are dynamically updated based on user activity. The application’s primary advantage lies in its ability to integrate with Wear OS devices, allowing users to control music playback directly from a smartwatch. Moreover, the integration of sensors in smartwatches enables the capture of events, which can be assigned to specific profiles. This feature allows the application to automatically suggest a particular profile based on the detected event, enhancing the user experience and promoting a personalized approach to music listening.